A Compressive Sensing Approach for Directions-of-Arrival Estimation in Planar Sub-Arrayed Arrays

The problem of the estimation of the directions-of-arrival (DoAs) in sub-arrayed planar arrays is addressed in this work by means of a strategy based on the Bayesian Compressive Sensing (BCS). The DoAs estimation performance for different sub-array configurations are discussed and compared, considering different noisy conditions. Preliminary numerical results are reported for single snapshot data to validate the proposed strategy.